Adoption of alternative drives in Germany¶

This report shows how the numbers of cars with alternative drives has developed in Germany over the last few years.

Install dependencies¶

Initially, install all required dependencies necessary to create this report.

In [ ]:
%pip install -r requirements.txt
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Note: you may need to restart the kernel to use updated packages.

So did the percentage of cars with an alternative drive increase over the last years?¶

To answer this question the results from the dataset "FZ 10" from the Kraftfahrt-Bundesamt (KBA) were used. The different parts of this dataset can be found at: https://www.kba.de/DE/Statistik/Fahrzeuge/Neuzulassungen/MonatlicheNeuzulassungen/monatl_neuzulassungen_node.html

The FZ 10 is a report that states how many cars were registered during a month and separates the new registrations by brand, model and drive of the car. Therefore it suits the goal of the project, since the goal is to analyze how the distribution of different types has developed over the last few years and how this trend will likely continue in the future. The report goes back to 2008, but only the entries from the last 5 years (2018-2022) to keep the number of data-entries low. Also the first 3 months of 2023 were used to compare our findings to the latest information.

Note: The report FZ10 did not specify the type "Plugin-Hybridantrieb" prior to the year 2021. This resulted in it being listed with 0 cars for the first 3 years. At first there was the idea of aggregating this value with the number of vehicles listed as "Hybridantrieb", but this was later rejected, since this could make it more difficult to make predictions for hybrid-cars.

In [ ]:
import pandas as pd
import plotly.io as pio
import plotly.graph_objects as go
import plotly.subplots as ps

brand_statistics = pd.read_sql_table('brand-statistics', 'sqlite:///data/data.sqlite')

pio.renderers.default = "notebook"
pd.options.plotting.backend = 'plotly'

brand_statistics.drop(['Modellreihe', 'Monat'], axis=1, inplace=True)

brand_statistics = brand_statistics[brand_statistics['Marke'].str.contains('ZUSAMMEN', na=False)]
brand_statistics = brand_statistics.groupby(['Jahr']).sum()

brand_statistics.drop(['Marke'], axis=1, inplace=True)

brand_statistics["Sonstiges"] = brand_statistics["Insgesamt"] - (brand_statistics['mit Dieselantrieb'] + brand_statistics['Hybridantrieb (gesamt)'] + brand_statistics['Plugin-Hybridantrieb (gesamt)'] + brand_statistics['Elektroantrieb'] + brand_statistics['Allradantrieb'] + brand_statistics['Cabriolets'])  

brand_statistics.drop(['Insgesamt', 'Hybridantrieb (Benzin)', 'Hybridantrieb (Diesel)', 'Plugin-Hybridantrieb (Benzin)', 'Plugin-Hybridantrieb (Diesel)'], axis=1, inplace=True)

pie_fig = ps.make_subplots(
    rows=2, 
    cols=3, 
    specs=[[{'type':'domain'}, {'type':'domain'}, {'type':'domain'}], [{'type':'domain'}, {'type':'domain' }, None]],
    subplot_titles=['2018','2019', '2020', '2021', '2022']
)

pie_fig.add_trace(go.Pie(values=brand_statistics.values[0], labels=brand_statistics.columns, name="2018"), 1, 1)
pie_fig.add_trace(go.Pie(values=brand_statistics.values[1], labels=brand_statistics.columns, name="2019"), 1, 2)
pie_fig.add_trace(go.Pie(values=brand_statistics.values[2], labels=brand_statistics.columns, name="2020"), 1, 3)
pie_fig.add_trace(go.Pie(values=brand_statistics.values[3], labels=brand_statistics.columns, name="2021"), 2, 1)
pie_fig.add_trace(go.Pie(values=brand_statistics.values[4], labels=brand_statistics.columns, name="2022"), 2, 2)
pie_fig.update_traces(hoverinfo='label+value+name', marker=dict(colors=["blue", "green", "darkgreen", "yellow", "brown", "orange", "red"]))
pie_fig.update_layout(title_text='Figure 1: Distribution for the different types of drives from 2018 - 2022')

pie_fig.show()

line_fig = go.Figure()
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['Sonstiges'], name="Sonstiges", line=dict(color="red")))
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['mit Dieselantrieb'], name="mit Dieselantrieb", line=dict(color="blue")))
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['Hybridantrieb (gesamt)'], name="Hybridantrieb (gesamt)", line=dict(color="green")))
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['Plugin-Hybridantrieb (gesamt)'], name="Plugin-Hybridantrieb (gesamt)", line=dict(color="darkgreen")))
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['Elektroantrieb'], name="Elektroantrieb", line=dict(color="yellow")))
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['Allradantrieb'], name="Allradantrieb", line=dict(color="brown")))
line_fig.add_trace(go.Scatter(x=['2018','2019', '2020', '2021', '2022'], y=brand_statistics['Cabriolets'], name="Cabriolets", line=dict(color="orange")))

line_fig.update_layout(title_text='Figure 2: Number cars with certain drives from 2018 - 2022', xaxis=dict(tickmode = 'linear', dtick=1))
line_fig.show()

Figures 1 and 2 show that the number of cars with traditional drives has been steadily decreasing, while the number of hybrid or electric cars has increased significantly. In the first three year it was mostly an increase in hybrid cars, but since 2021 this number has started to stagnate and the number of plugin-hybrid and electric cars has started to grow. There was also a slight overall decline in the number of newly-registered cars, but this does not seem to effect the overall distribution that much. Interestingly the number of cars with all-wheel-drive and the number of newly-registered cabriolets stayed roughly the same over the whole timespan.

If you compare this against the data that was available for the first 3 months of 2023, the described trends seems to continue (see Figure 3 below). But since we would need more information to confirm this, this could just be by coincidence.

In [ ]:
import plotly.graph_objects as go
import plotly.subplots as ps

pie_fig = ps.make_subplots(
    rows=1, 
    cols=1, 
    specs=[[{'type':'domain'}]],
    subplot_titles=['2023']
)

pie_fig.add_trace(go.Pie(values=brand_statistics.values[5], labels=brand_statistics.columns, name="2023"), 1, 1)
pie_fig.update_traces(hoverinfo='label+value+name', marker=dict(colors=["blue", "green", "darkgreen", "yellow", "brown", "orange", "red"]))
pie_fig.update_layout(title_text='Figure 3: Distribution for the different types of drives from January 2023 - March 2023')

pie_fig.show()

Does this trend apply to every federal state in Germany?¶

The above dataset only allowed to get an overall view over the current developments in Germany. Since the other goal of this project was to identify regions, that still lag behind in the adoption of cars with alternative drives, we have to look at another dataset.

For this analysis the report FZ 28.9 from the Kraftfahrt-Bundesamt (KBA) was used. It can be found at https://www.kba.de/DE/Statistik/Fahrzeuge/Neuzulassungen/Umwelt/n_umwelt_node.html and, similarly to the FZ 10 used in the previous segment, describes the number of newly-registered cars in Germany. However this report focuses more on alternative drives and allows a better look at the different federal states, since it includes specific information for each of them. Since it is a newer report, there aren't as many datasets available as for the previous segment. Because of that only the complete datasets from 2021 and 2022 and the first 3 months from 2023 were analyzed.

In [ ]:
import pandas as pd

fs_statistics = pd.read_sql_table('federal-state-statistics', 'sqlite:///data/data.sqlite')

subsets_to_remove = ['2021', '2022', '2023', 'Sonstige']
fs_statistics = fs_statistics[fs_statistics['Bundesland'].str.contains('|'.join(subsets_to_remove), na=False) == False]
fs_statistics = fs_statistics.groupby(['Jahr', 'Bundesland']).sum()

columns_to_drop = [
    'Monat',
    'Anzahl (BEV)',
    'Anzahl (Brennstoffzelle)',
    'Anzahl (Plug-in-Hybrid)',
    'Anzahl (Voll-Hybrid)',
    'Anzahl (Benzin-Hybrid)',
    'Anzahl (Benzin-Voll-Hybrid)',
    'Anzahl (Diesel-Hybrid)',
    'Anzahl (Diesel-Voll-Hybrid)'
]
fs_statistics.drop(columns_to_drop, axis=1, inplace=True)

fs_statistics['Anzahl (traditioneller Antrieb)'] = fs_statistics['Anzahl (gesamt)'] - fs_statistics['Anzahl (alternativer Antrieb)']

fs_statistics.copy()

fs_statistics['Anzahl (Elektro-Antrieb)'] = fs_statistics['Anzahl (Elektro-Antrieb)'] / fs_statistics['Anzahl (gesamt)']
fs_statistics['Anzahl (Hybrid)'] = fs_statistics['Anzahl (Hybrid)'] / fs_statistics['Anzahl (gesamt)']
fs_statistics['Anzahl (Gas)'] = fs_statistics['Anzahl (Gas)'] / fs_statistics['Anzahl (gesamt)']
fs_statistics['Anzahl (Wasserstoff)'] = fs_statistics['Anzahl (Wasserstoff)'] / fs_statistics['Anzahl (gesamt)']
fs_statistics['Anzahl (traditioneller Antrieb)'] = fs_statistics['Anzahl (traditioneller Antrieb)'] / fs_statistics['Anzahl (gesamt)']

fs_statistics.drop(['Anzahl (gesamt)', 'Anzahl (alternativer Antrieb)'], axis=1, inplace=True)

display(fs_statistics)
Anzahl (Elektro-Antrieb) Anzahl (Hybrid) Anzahl (Gas) Anzahl (Wasserstoff) Anzahl (traditioneller Antrieb)
Jahr Bundesland
2021 Baden-Württemberg 0.317380 0.149425 0.004525 0.0 0.528670
Bayern 0.244235 0.188202 0.003366 0.0 0.564197
Berlin 0.292335 0.194299 0.004389 0.0 0.508977
Brandenburg 0.241439 0.167772 0.006904 0.0 0.583886
Bremen 0.258531 0.181544 0.004370 0.0 0.555556
Hamburg 0.169201 0.158083 0.001687 0.0 0.671029
Hessen 0.237432 0.145482 0.005921 0.0 0.611165
Mecklenburg-Vorpommern 0.188622 0.164121 0.004430 0.0 0.642826
Niedersachsen 0.252609 0.103891 0.007642 0.0 0.635857
Nordrhein-Westfalen 0.277538 0.180398 0.006414 0.0 0.535650
Rheinland-Pfalz 0.298178 0.160260 0.006855 0.0 0.534708
Saarland 0.231918 0.225957 0.005095 0.0 0.537029
Sachsen 0.205921 0.175545 0.006758 0.0 0.611777
Sachsen-Anhalt 0.191448 0.200609 0.007638 0.0 0.600305
Schleswig-Holstein 0.303901 0.138590 0.004997 0.0 0.552512
Thüringen 0.199816 0.165948 0.006025 0.0 0.628211
2022 Baden-Württemberg 0.351354 0.172908 0.005937 0.0 0.469801
Bayern 0.302013 0.207702 0.004284 0.0 0.486001
Berlin 0.300692 0.239955 0.005664 0.0 0.453689
Brandenburg 0.294359 0.179846 0.008838 0.0 0.516957
Bremen 0.301181 0.205873 0.005554 0.0 0.487392
Hamburg 0.238997 0.196740 0.002073 0.0 0.562190
Hessen 0.315901 0.151043 0.005905 0.0 0.527151
Mecklenburg-Vorpommern 0.241073 0.181220 0.017204 0.0 0.560503
Niedersachsen 0.289019 0.118941 0.006066 0.0 0.585974
Nordrhein-Westfalen 0.338611 0.173383 0.007389 0.0 0.480617
Rheinland-Pfalz 0.366579 0.161608 0.008943 0.0 0.462869
Saarland 0.332542 0.213928 0.008199 0.0 0.445331
Sachsen 0.234855 0.183692 0.009706 0.0 0.571747
Sachsen-Anhalt 0.230678 0.217311 0.010020 0.0 0.541991
Schleswig-Holstein 0.367333 0.141332 0.006829 0.0 0.484505
Thüringen 0.251985 0.164643 0.008570 0.0 0.574801
2023 Baden-Württemberg 0.242274 0.252398 0.004129 0.0 0.501198
Bayern 0.180874 0.246006 0.003935 0.0 0.569185
Berlin 0.174738 0.318208 0.003566 0.0 0.503489
Brandenburg 0.184159 0.244859 0.008472 0.0 0.562510
Bremen 0.188117 0.329821 0.005157 0.0 0.476906
Hamburg 0.140145 0.301947 0.002674 0.0 0.555234
Hessen 0.195552 0.198750 0.004245 0.0 0.601454
Mecklenburg-Vorpommern 0.151515 0.229055 0.008318 0.0 0.611111
Niedersachsen 0.190644 0.180476 0.004817 0.0 0.624062
Nordrhein-Westfalen 0.212863 0.230694 0.006100 0.0 0.550343
Rheinland-Pfalz 0.236953 0.218361 0.008658 0.0 0.536028
Saarland 0.179350 0.267726 0.009964 0.0 0.542960
Sachsen 0.148248 0.237492 0.009019 0.0 0.605241
Sachsen-Anhalt 0.148257 0.265864 0.006953 0.0 0.578927
Schleswig-Holstein 0.237552 0.202365 0.004376 0.0 0.555707
Thüringen 0.134663 0.203017 0.007585 0.0 0.654735

The above tabel shows the distribution of newly-registered cars with different drives over the last three years. It shows the same overall trends as seen before (decline in traditional drives, increase in alternative drives), but it also describes a few regional differences when comparing the percentages from 2021 to 2022. For example some federal states only had a two percent increase in hybrid cars(Bremen), while some states had an increase up to 8 percent (Hessen).

Aside from these small differences however, there does not seem to be one federal state that significantly lags behind or is far more advanced than the other states. This is can be seen even better if you plot these distributions in a heatmap (see Figures 4-6 below). Therefore one can assume that the overall trend discovered in part one is a good representation for all federal state/all of Germany.

In [ ]:
import plotly.graph_objects as go

fs_statistics_2021 = fs_statistics.loc[[2021]].reset_index(level='Jahr', drop=True)
fs_statistics_2022 = fs_statistics.loc[[2022]].reset_index(level='Jahr', drop=True)
fs_statistics_2023 = fs_statistics.loc[[2023]].reset_index(level='Jahr', drop=True)

heatmap_2021 = go.Figure(data=go.Heatmap(z=fs_statistics_2021.values, y=fs_statistics_2021.index, x=fs_statistics_2021.columns))
heatmap_2021.update_layout(title_text='Figure 4: Heatmap for the distribution of different drives in 2021')
heatmap_2021.show()

heatmap_2022 = go.Figure(data=go.Heatmap(z=fs_statistics_2022.values, y=fs_statistics_2022.index, x=fs_statistics_2022.columns))
heatmap_2022.update_layout(title_text='Figure 5: Heatmap for the distribution of different drives in 2022')
heatmap_2022.show()

heatmap_2023 = go.Figure(data=go.Heatmap(z=fs_statistics_2023.values, y=fs_statistics_2023.index, x=fs_statistics_2023.columns))
heatmap_2023.update_layout(title_text='Figure 6: Heatmap for the distribution of different drives in 2023 (January - March)')
heatmap_2023.show()

Conclusion¶

Summary¶

The project wanted to analyze how the number of cars with alternative drives in Germany has developed over the last few years. It was discovered, that the number of newly-registered cars using alternative drives has increase significantly, while the number of cars using traditional drives has decreased.
It was also shown, that this development was not limited to certain regions of Germany, but instead representative for the entire country.

Ways to improve this study¶

The project was able to gather some good insight into the current developments. But if you want to continue this research even further, there are some improvements you could make:

  • The "FZ 28"-report is a new report, which meant that there were only a limited number of datasets available. So if you want to continue researching this topic, for example to find out which federal state first started to adopt cars with alternative drives, it would be beneficial to search for additional datasets.
  • The used datasets all focus on newly-registered cars. This is a good fit for this project, since this does allow a good view on how the adoption of alternative drives is going to develop in the near future. However this does not account for cars that are already in use, so if you want to get a better overview of all the cars in Germany you might need to look for additional data.

Sources¶

Datasource1: Neuzulassungen von Personenkraftwagen nach Marken und Modellreihen im Jahr 2023 (FZ 10)¶

  • Metadata URL: https://mobilithek.info/offers/573357449174511616
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2023_01.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2023_02.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2023_03.xlsx?__blob=publicationFile&v=2
  • Data Type: XLSX

A dataset describing the brand and drive of cars that were registered in the year 2023.

Datasource2: Neuzulassungen von Personenkraftwagen nach Marken und Modellreihen im Jahr 2022 (FZ 10)¶

  • Metadata URL: https://mobilithek.info/offers/573357987307909120
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_01.xlsx?__blob=publicationFile&v=8
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_02.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_03.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_04.xlsx?__blob=publicationFile&v=7
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_05.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_06.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_07.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_08.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_09.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_10.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_11.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2022_12.xlsx?__blob=publicationFile&v=3
  • Data Type: XLSX

A dataset describing the brand and drive of cars that were registered in the year 2022.

Datasource3: Neuzulassungen von Personenkraftwagen nach Marken und Modellreihen im Jahr 2021 (FZ 10)¶

  • Metadata URL: https://mobilithek.info/offers/573357666955358208
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_01.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_02.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_03.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_04.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_05.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_06.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_07.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_08.xlsx?__blob=publicationFile&v=8
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_09.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_10.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_11.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2021_12.xlsx?__blob=publicationFile&v=7
  • Data Type: XLSX

A dataset describing the brand and drive of cars that were registered in the year 2021.

Datasource4: Neuzulassungen von Personenkraftwagen nach Marken und Modellreihen im Jahr 2020 (FZ 10)¶

  • Metadata URL: https://mobilithek.info/offers/573358472593055744
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_01_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_02_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_03_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_04_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_05_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_06_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_07_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_08_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_09_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_10_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_11_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2020_12_xlsx.xlsx?__blob=publicationFile&v=2
  • Data Type: XLSX

A dataset describing the brand and drive of cars that were registered in the year 2020.

Datasource5: Neuzulassungen von Personenkraftwagen nach Marken und Modellreihen im Jahr 2019 (FZ 10)¶

  • Metadata URL: https://mobilithek.info/offers/573358490754363392
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_01_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_02_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_03_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_04_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_05_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_06_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_07_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_08_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_09_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_10_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_11_xlsx.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2019_12_xlsx.xlsx?__blob=publicationFile&v=2
  • Data Type: XLSX

A dataset describing the brand and drive of cars that were registered in the year 2019.

Datasource6: Neuzulassungen von Personenkraftwagen nach Marken und Modellreihen im Jahr 2018 (FZ 10)¶

  • Metadata URL: https://mobilithek.info/offers/573357863752052736
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_01_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_02_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_03_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_04_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_05_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_06_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_07_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_08_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_09_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_10_xls.xls?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_11_xls.xls?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ10/fz10_2018_12_xlsx.xlsx?__blob=publicationFile&v=2
  • Data Type: XLSX

A dataset describing the brand and drive of cars that were registered in the year 2018.

Datasource7: Neuzulassungen von Kraftfahrzeugen mit alternativem Antrieb (FZ 28) im Jahr 2023¶

  • Metadata URL: https://mobilithek.info/offers/573357313572614144
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2023_01.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2023_02.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2023_03.xlsx?__blob=publicationFile&v=6
  • Data Type: XLSX

A dataset describing the number and types of newly-registered vehicles in germany for year 2023.

Datasource8: Neuzulassungen von Kraftfahrzeugen mit alternativem Antrieb (FZ 28) im Jahr 2022¶

  • Metadata URL: https://mobilithek.info/offers/573358160767496192
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_01.xlsx?__blob=publicationFile&v=7
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_02.xlsx?__blob=publicationFile&v=9
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_03.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_04.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_05.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_06.xlsx?__blob=publicationFile&v=8
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_07.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_08.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_09.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_10.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_11.xlsx?__blob=publicationFile&v=7
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2022_12.xlsx?__blob=publicationFile&v=6
  • Data Type: XLSX

A dataset describing the number and types of newly-registered vehicles in germany in the year 2022.

Datasource9: Neuzulassungen von Kraftfahrzeugen mit alternativem Antrieb (FZ 28) im Jahr 2021¶

  • Metadata URL: https://mobilithek.info/offers/573358207202664448
  • Data URL:
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_01.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_02.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_03.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_04.xlsx?__blob=publicationFile&v=5
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_05.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_06.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_07.xlsx?__blob=publicationFile&v=3
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_08.xlsx?__blob=publicationFile&v=4
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_09.xlsx?__blob=publicationFile&v=2
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_10.xlsx?__blob=publicationFile&v=7
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_11.xlsx?__blob=publicationFile&v=6
    • https://www.kba.de/SharedDocs/Downloads/DE/Statistik/Fahrzeuge/FZ28/fz28_2021_12.xlsx?__blob=publicationFile&v=3
  • Data Type: XLSX

A dataset describing the number and types of newly-registered vehicles in germany in the year 2021.